Infrared small target energy distribution mode for subpixel motion

被引：3

作者：

Ma, Tianlei ^{[1
]}

Wang, Jiaqi ^{[1
]}

Ren, Xiangyang ^{[1
]}

Yang, Zhen ^{[1
]}

Ku, Yanan ^{[1
]}

机构：

[1] Zhengzhou Univ, Sch Elect Engn, Zhengzhou 450001, Henan, Peoples R China

来源：

APPLIED OPTICS | 2021年 / 60卷 / 20期

基金：

中国国家自然科学基金;

关键词：

DIM;

D O I：

10.1364/AO.427782

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

Dim small target detection is an important application of infrared (IR) searching and tracking systems. IR small target detection methods based on target energy information can accomplish a high detection rate and low false alarm rate. However, the general inaccuracy of target energy distribution models makes most detection algorithms ineffective. In this paper, considering the effect of a target's subpixel motion on energy distribution, a new, to the best of our knowledge, IR small target energy distribution (NSTED) model for subpixel motion is proposed. The NSTED model can well describe energy distribution variation of a subpixel moving target. The simulation results demonstrate that NSTED has a better output signal-to-noise ratio (SNR) than state-of-the-art Gaussian and hyperbolic secant models. Compared with the two models, NSTED improves the output SNR by at least 17.9% and 20.7%, respectively. (C) 2021 Optical Society of America

引用

页码：5873 / 5879

页数：7

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